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中文摘要：
多目标跟踪的关键就是对目标数和目标状态的准确估计。将目标集合看成一个随机集，并且目标数也是变化的。采用一阶统计矩近似表示状态空间的概率密度，通过蒙特卡罗模拟近似表示一阶统计矩，从而实现多目标跟踪。实验表明，在杂波环境下，PHD算法可以实现多目标跟踪，并且各参数对跟踪精度有一定的影响。
英文摘要：
Exact estimation of target quantity and target state is crucial for multi-target tracking. The target set was taken as a random set, in which the target quantity was variational. The probability density of state space was expressed approximately by the first-order statistical moment. Then Monte Carlo simulation was used to express the first-order statistical moment for implementing multi-target tracking. Experiments showed that PHD algorithm can be used to track multi-target in clutter, and some parameters have certain influences on tracking accuracy.
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